Techead

Techead

Data Engineer

Hoboken, New Jersey · Mid · Full-time

Sponsorship not specifiedDetected 45 days ago
PythonGitSQLSnowflakeDatabricksAzureDevOpsSparkData AnalysisData EngineeringData VisualizationCRMSupply ChainLogisticsERP

About the role

  • To Apply for this Job Click Here Always Connecting, Always Evolving.
  • TECHEAD is seeking qualified applicants for the following Direct Hire position - Data Engineer / Hoboken NJ - (JOB-22352).
  • If you are looking for a new opportunity and this position looks to be a fit, please apply to see the TECHEAD difference that has made us successful for 30+ years!

Responsibilities

  • Design, build, and maintain production-grade pipelines (ADF, Databricks, SQL) to ingest data from ERP, CRM, and financial systems.
  • Build optimized dimensional models, star schemas, and data marts within Azure Data Lake and data warehouses.
  • Implement validation checks, resolve data integrity issues, and fully document pipelines and business logic.

Requirements

  • Bachelor's degree in CS, IT, Data Analytics, Engineering, or equivalent experience.
  • Advanced proficiency in SQL (query optimization, stored procedures, joins, and indexing).
  • Experience with Python, PySpark, Spark SQL, Delta Lake, Synapse, Fabric, or Snowflake.
  • Familiarity with operational data (work orders, asset tracking, inventory, labor, billing, and customer contracts).
  • Experience with APIs, SFTP, and flat-file ingestion.
  • SQL Mastery: Advanced proficiency in SQL (query optimization, stored procedures, joins, and indexing).
  • Soft Skills: Ability to gather requirements from business stakeholders and translate them into data solutions.

Skills

  • Ability to gather requirements from business stakeholders and translate them into data solutions.
  • Industry Experience: Background in transport, logistics, fleet maintenance, distribution, or field/industrial services.
  • Advanced Tech: Experience with Python, PySpark, Spark SQL, Delta Lake, Synapse, Fabric, or Snowflake.
  • Business Systems: Experience integrating data from Microsoft Dynamics 365 or specialized industrial ERP platforms.
  • Data Types: Familiarity with operational data (work orders, asset tracking, inventory, labor, billing, and customer contracts).
  • Integrations: Experience with APIs, SFTP, and flat-file ingestion.
  • Technical Environment Summary
  • Cloud/Data Platforms: Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Microsoft Fabric, Snowflake
  • Languages & BI: SQL, Python, PySpark, Power BI (DAX, semantic models)
  • Target Systems: Microsoft Dynamics 365, specialized industrial ERPs, CRM, and APIs
  • Workflows: Git, DevOps, automated monitoring, and alerting tools
  • TECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper.
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This listing is sourced directly from Techead's careers page and normalized into a canonical job model.